PerceptionHardware: MaxRoadmap scaffold
Edge NeRF capture
Neural Radiance Fields for environment capture, optimized for Jetson.
Lab runtime / PerceptionOK / VIS-01
Edge NeRF capture runs against the same observable edge stack used for testing and deployment.
This entry is a roadmap scaffold, not a finished demo. Its description records intended scope; the linked repository is the source of truth for current code.
About this demo
Capture a real environment by walking the robot around it; the brain trains a NeRF on-device that becomes the basis for a real-to-sim scene. Inspired by Johnny Núñez Cano's Edge NeRF & nerfstudio talk.
Highlights
- →On-device training
- →nerfstudio integration
- →Exports to Real-to-Sim pipeline
- →Mesh + radiance field outputs
Supported robots
Mobile capture rig
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